Make yourself hireable with personalized career coaching and exclusive access to our network of hiring companies.

Student outcomes

1200+

Total students

who have enrolled in the Data Science Career Track since its launch in 2016

$23k+

Average salary increase

as reported by students who provided pre- and post-course salaries

0

Refunds

requested by job guarantee eligible students through November 15, 2018

What hiring managers think about our program

David Croushore, Pandora

Sathya Anand, Netflix

Ankit Jain, Uber AI Labs

Springboard graduates work for amazing companies

Springboard graduates work for amazing companies

Meet a few of our Data Science Bootcamp alumni

Springboard helped with career prep and the job search where we were exploring different companies I'd be interested in. We also did mock interviews, technical interviews, and take-home coding exercises. They put me in contact with a few different employers.

Justin Knight

Principal Data Scientist

Springboard has given me the opportunity to update my technical skills and my interviewing skills which gave me the edge in being hired for this position with Verizon.

Karen Masterson

Data Analyst

Working through exercises and lessons produced by multiple institutions or individuals accelerates the learning by exposing you to different approaches to data science concepts and techniques. Having a human mentor likewise accelerates the learning cycle by making sure you don't get stuck and lose motivation.

Ledger West

Senior Data Scientist

Meet a few of our Data Science Bootcamp alumni

Springboard helped with career prep and the job search where we were exploring different companies I'd be interested in. We also did mock interviews, technical interviews, and take-home coding exercises. They put me in contact with a few different employers.

Justin Knight

Principal Data Scientist

Springboard has given me the opportunity to update my technical skills and my interviewing skills which gave me the edge in being hired for this position with Verizon.

Karen Masterson

Data Analyst

Working through exercises and lessons produced by multiple institutions or individuals accelerates the learning by exposing you to different approaches to data science concepts and techniques. Having a human mentor likewise accelerates the learning cycle by making sure you don't get stuck and lose motivation.

Ledger West

Senior Data Scientist

Your own mentor

You’ll meet weekly with your mentor, where you’ll get to:

Learn from the best

Set your own agenda

Get additional help

Your mentor is already working in the industry and will give you valuable insights.

Discuss deliverables, topics you are interested in, or career steps.

If you need more help, you can schedule additional calls with some of our mentor community members at no extra cost.

Meet our mentors

Our world-class mentors are hand-picked, for their experience and love of teaching.

Data Story

Project

You’ll practice the concepts you've learned so far by creating a story out of a dataset. Your mentor will help structure and evaluate your approach as you explore a dataset and present insightful findings to them.

Estimated Time: 10+ Hours

UNIT 4

Statistical Inference

Learn the basics of inferential statistics and parameter estimation

Use hypothesis testing to determine if a phenomenon is statistically significant

Learn how correlation and regression can be used to identify useful features

Know how to build A/B split tests

Exploratory data analysis

Estimated Time: 16+ Hours

UNIT 5

Machine Learning

Use scikit-learn to implement supervised and unsupervised algorithms

Advanced topics: time series analysis, social network analysis

Ensemble learning with random forests and gradient boosting

Validate and evaluate machine learning systems

Estimated Time: 50+ Hours

UNIT 6

Data Science at Scale

Work with MapReduce, one of the most popular algorithms for large-scale data manipulation

Understand NoSQL databases and how they differ from SQL

Learn Spark, the state-of the-art in distributed computing frameworks

Learn SparkML and MLlib to implement Machine Learning at scale on Spark

Estimated Time: 10 Hours

UNIT 7

Choose your Specialization

Halfway through the course, you will have the option to choose a specialization that aligns with your career goals. These are areas of focus that allow you to adapt your learning experience to your interests within Data Science.

Data Story

Project

You’ll practice the concepts you've learned so far by creating a story out of a dataset. Your mentor will help structure and evaluate your approach as you explore a dataset and present insightful findings to them.

Estimated Time: 10+ Hours

UNIT 4

Statistical Inference

Learn the basics of inferential statistics and parameter estimation

Use hypothesis testing to determine if a phenomenon is statistically significant

Learn how correlation and regression can be used to identify useful features

Know how to build A/B split tests

Exploratory data analysis

Estimated Time: 16+ Hours

UNIT 5

Machine Learning

Use scikit-learn to implement supervised and unsupervised algorithms

Advanced topics: time series analysis, social network analysis

Ensemble learning with random forests and gradient boosting

Validate and evaluate machine learning systems

Estimated Time: 50+ Hours

UNIT 6

Data Science at Scale

Work with MapReduce, one of the most popular algorithms for large-scale data manipulation

Understand NoSQL databases and how they differ from SQL

Learn Spark, the state-of the-art in distributed computing frameworks

Learn SparkML and MLlib to implement Machine Learning at scale on Spark

Estimated Time: 10 Hours

UNIT 7

Choose your Specialization

Halfway through the course, you will have the option to choose a specialization that aligns with your career goals. These are areas of focus that allow you to adapt your learning experience to your interests within Data Science.

Capstone Project

In this program, you'll complete two Capstone Projects for your portfolio. They will be evaluated by your mentor, giving you experience with real business problems and datasets.

Your second capstone project will related directly to the specialization track of your choice (if you have chosen one).

Estimated Time: 50+ Hours

UNIT 9

Career Services

Get your resume and Linkedin reviewed

Work with your own personal career coach

Get a personalized job search strategy

Learn networking principles that will land you your next job

Learn how to negotiate your salary

Estimated Time: 35+ Hours

Swipe left to browse chapters

Get a detailed course syllabus in e-mail:

Get a detailed course syllabus in e-mail:

Is this program right for me?

Who is this workshop for?

This Data Science Bootcamp is for

people with a prior background in statistics and programming.

How much prior experience is needed?

Most students in this course will:(1) have completed a college-level statistics class, or have equivalent knowledge, AND(2) know programming well enough to be comfortable picking up a new language using resources on the web.Other than that, all professional and academic backgrounds are welcome. We've taught software developers, grad students, analysts, and BI / finance professionals.

Not sure if your background is a fit?

Write to us at katie@springboard.com. Katie, our Admissions Manager will help you think through the decision.

Frequently Asked Questions

A career transition into data science is exciting, but involves focused and consistent effort. We are thrilled to have your back in this journey and ask for an equal commitment from you. In order to be eligible for this job guarantee, you should:

be 18 years or older.

hold a Bachelor’s degree from any educational institution in any subject, which is still a requirement by most employers for these roles

be proficient in spoken and written English, as determined by initial interactions with our Admissions team

be eligible to legally work in the United States (or Canada if applying for positions in Toronto) for at least 1 year following graduation from the program. See the detailed policy for further requirements about specific Visa types

be able to pass any background checks associated with jobs that you apply for

apply to positions, dedicate sufficient time and effort, and follow the job search process recommended to you by our career coaches.

Note that while our different specialization tracks prepare you for a career in a specialized field, we cannot guarantee that your first data science position will be in that field.

There are 4 payment options (all of which come with our job guarantee as long as you meet eligibility requirements). Our two standard payment plans are:

Monthly Plan: You pay $1,490 per month while you are enrolled in the program, capped at $8,940. After 6 months in the program, we will stop billing you. If you take 6 months to graduate, your total payment is $8,940. If you graduate sooner, you pay less!

Upfront payment: You pay $7,500 upfront for 6 months. This is a 16% discount on the monthly plan.

In addition, we have 2 other payment options. These are available by application to qualifying US citizens and permanent residents. If you are not a US citizen or permanent resident, you can still apply for financing with a fully qualifying co-borrower who is a citizen or permanent resident - as long as you both have a US address.

Deferred Tuition:You pay a $700 deposit upon enrollment to confirm your seat (that's a discount on the normal $1,490/mo plan). Then, you’ll pay the remaining tuition ($9, 800) only when you land a job using your newly learned skills. You can pay that final balance in 12 monthly installments of $817. The remaining tuition will be waived if you don’t get a job, and maintain eligibility, within six months of graduating!

Climb Credit loan: Available by application to qualifying US citizens and permanent residents. If you are not a US citizen or permanent resident, you can still apply for financing with a fully qualifying co-borrower who is a citizen or permanent resident - as long as you both have a US address.

If approved, you pay $500 deposit to confirm your seat. You can finance the remaining $7,000 through a loan. You’ll make small interest-only payments for the first 6 months. After that, you will pay 36 monthly payments of $227-244 each. Learn more here

Please note: lending might not be available in all 50 states - click here for the current full lending list.

Yes, we have a financing option available! Students can apply for a loan with our partner Climb Credit, and if approved, use it to pay for tuition. Learn about the application process on Climb Credit’s website here.

We do also have a Deferred Tuition payment plan. With this payment plan, you can pay an initial upfront deposit ($700) and then not pay anything else until you graduate. This option is not subject to interest on payment––you will owe a flat fee of $9800 once you get a job. This fee will also be broken up into monthly payment of $817/month over 12 months.

Please note: lending might not be available in all 50 states - click here for the current full lending list.

The Data Science Career Track is a 500-600 hour course. Most students complete the course in 6 months, working 15-20 hours per week.

You should expect to take the full 6 months, but can aim to complete in less time if you are: highly proficient in Python and Statistics; are ready to devote more time per week to complete the curriculum materials; and are driven and disciplined with managing your study schedule.

We work with industry experts to determine the most relevant data science topics, and find the best resources on each topic (e.g. videos, tutorials, lectures).

Note that many of the videos and resources in the curriculum are not created in-house by us. Instead, we find and curate the best resources available on the subject. Think of us as a college professor who creates a syllabus by combining the best textbook chapters, articles, papers, and projects (instead of teaching from only her own textbook).

We believe the curated curriculum is our unique strength. By standing on the shoulders of giants, we’re able to update the curriculum frequently, and always teach the latest tools and technologies.

Once you complete your first capstone project, you will have the option to choose a specialization. Specializations are areas of focus that allow you to adapt your learning experience to a particular career path. You can choose one of three tracks that align with your career goals and area of interest: The Generalist Track: Advanced Machine Learning, Natural Language Processing, or Deep Learning.

Based on your choice, you will focus on that particular specialization and focus your second capstone project around that topic.

We will provide certificates of completion to all the participants who successfully complete the course and all the projects. We also have integration with LinkedIn, so you can display a verified certificate on your LinkedIn profile.

You should have a strong background in probability & statistics, and should be very comfortable enough in programming to pick up a new language using resources on the web. If you do not meet these requirements, please check out our Introduction to Data Science workshop instead.

Spots are limited and we accept candidates on a rolling basis. We have a multi-step application process. The first step involves a 10-15 minute questionnaire to learn about your prior educational and work experience. Based on your responses, we might ask for additional information -- e.g. a brief phone interview, or a quick coding and statistics challenge - just to make sure the Data Science Career Track is a good fit for you.

Our partners include consulting, healthcare, education, finance, manufacturing, technology, and security companies. We have hiring partners in all metropolitan areas where the job guarantee is offered.

Once you complete the course, you'll have lifetime access to your Springboard account, including the online community and office hours. We'll even provide you with an additional six months of access to external resources upon request. Whenever our course development team updates the curriculum, you'll see it too. Lifelong learning guaranteed.